Fast Bayesian acoustic localization

@article{Birchfield2002FastBA,
  title={Fast Bayesian acoustic localization},
  author={Stanley T. Birchfield and Daniel Kahn Gillmor},
  journal={2002 IEEE International Conference on Acoustics, Speech, and Signal Processing},
  year={2002},
  volume={2},
  pages={II-1793-II-1796}
}
We derive a probabilistic formulation, based upon Bayes' rule, for the acoustic localization problem. The resulting formula is shown to be closely related to the energy of a conventionally beamformed signal. We then present a close approximation to both which is much faster to compute — by two orders of magnitude with our experimental setup. The fast algorithm is essentially a generalization of approaches based upon time delay estimates (TDE's), by applying the principle of least commitment… CONTINUE READING
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